Triple
T10430280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opera Mobile |
E245893
|
entity |
| Predicate | releasedFor |
P20074
|
FINISHED |
| Object | Nokia Ovi Store |
E282149
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nokia Ovi Store | Statement: [Opera Mobile, releasedFor, Nokia Ovi Store]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nokia Ovi Store Context triple: [Opera Mobile, releasedFor, Nokia Ovi Store]
-
A.
Nokia Store
chosen
Nokia Store was Nokia's official digital distribution platform for mobile apps, games, and content for its smartphones and feature phones.
-
B.
BlackBerry World app store
BlackBerry World app store was BlackBerry's official digital storefront for downloading and purchasing apps, games, and other content for BlackBerry devices.
-
C.
Ovi
Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
-
D.
Tizen Store
Tizen Store is a digital app marketplace where users of Samsung’s Tizen-based devices can discover, purchase, and download applications and content.
-
E.
Windows Marketplace for Mobile
Windows Marketplace for Mobile was Microsoft’s official app store platform for discovering, purchasing, and downloading applications on Windows Mobile devices.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea62d6448190a7f5b785467824cf |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb068bc8190be9c7c916850278e |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:13 p.m.